The next age of LLMs? Dev gets a small LLM running at 10 tokens a second locally on a $10 microcontroller
Dev gets a small LLM running at 10 tokens a second locally on a $10 microcontroller News By Rahim Amir Published 7 August 2026 28.9M-parameter model runs on a microcontroller costing less than $10 When you purchase through links on our site, we may earn an affiliate commission. An ESP32-S3 offers 512 KB of SRAM and 8 MB of PSRAM that is woefully inadequate at first glance.Quantization closes the first part of the gap: dropping the weights to four-bit precision trades a little accuracy for a 75% reduction, bringing 60MB down to 14.9MB. You will receive a confirmation email shortly."},"failureMessage":"There was a problem.
- ▪Dev gets a small LLM running at 10 tokens a second locally on a $10 microcontroller News By Rahim Amir Published 7 August 2026 28.9M-parameter model runs on a microcontroller costing less than $10 When you purchase through links on our site
- ▪An ESP32-S3 offers 512 KB of SRAM and 8 MB of PSRAM that is woefully inadequate at first glance.Quantization closes the first part of the gap: dropping the weights to four-bit precision trades a little accuracy for a 75% reduction, bringing
- ▪You will receive a confirmation email shortly."},"failureMessage":"There was a problem.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/the-next-age-of-llms-dev-gets-a-small-llm-running-at-10-tokens-a-second-locally-on-a-usd10-microcontroller |
| Publication time | Fri, 07 Aug 2026 19:35:00 +0000 |
| Retrieval time | 2026-08-07T19:40:44.836Z |
| Last seen | 2026-08-07T19:40:44.836Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | KIFpHesR_N1k · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pro The next age of LLMs? Dev gets a small LLM running at 10 tokens a second locally on a $10 microcontroller News By Rahim Amir Published 7 August 2026 28.9M-parameter model runs on a microcontroller costing less than $10 When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Pixabay) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter A developer has a 28.9-million-parameter model generating TinyStories-style text at 9.88 tokens per second, fully offline, on a $10 microcontrollerIt was achieved by fitting a language model on a chip with 512KB of RAM by leaving most of it in…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.
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